West Side Highway, MS, United States
West Side Highway, MS, United States

Mississippi Valley State University is a historically black university located in Mississippi Valley State Leflore County, Mississippi, in the Mississippi Delta, near Itta Bena. MVSU is a member- school of the Thurgood Marshall College Fund. Wikipedia.

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Wang L.,Mississippi Valley State University
International Journal of Computer Applications in Technology | Year: 2012

Methods that enhance homeland security and disaster emergency operations through biometrics and Radio Frequency Identification (RFID) were studied. Biometrics can be used in visas and e-passports for border security, identity verification at airports, access control and safety for personnel in basic military training, and security for facilities in troops. RFID technology speeds the movement of people crossing borders, tracks baggage and polices airport access, provides better management of wounded soldiers and supply chains in military, detects unauthorised shipments for marine security, and improves disaster tracking, response and relief operations. Challenges and future work concerning biometrics and RFID in homeland security were also discussed. Copyright © 2012 Inderscience Enterprises Ltd.

Wang L.,Mississippi Valley State University
International Journal of Information Technology and Management | Year: 2012

Biometrics has been used in healthcare systems, banking and finance, energy systems, access control in computer centres, military, and homeland security such as e-passport, border crossing control, airport security, criminal identification, and fighting terrorists. Biometric technologies such as face, fingerprint and iris recognition, multi-biometrics, and their technology intelligence, applications, and advances were studied. 13 attributes of six biometric technologies including face, fingerprint, iris, voice, hand geometry and signature recognition, and false reject rates (FRR) and false accept rates (FAR) of the six biometric technologies were summarised and compared based on technology evaluation or scenario evaluation. Challenges and future research of biometrics were also discussed. Copyright © 2011 Inderscience Enterprises Ltd.

Bland C.,Mississippi Valley State University | Newsome A.S.,Mississippi Valley State University | Markovets A.A.,Mississippi Valley State University
BMC Bioinformatics | Year: 2010

Background: One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-induced duplex destabilization (SIDD) are useful in promoter prediction, as well. In this paper, the currently used SIDD energy threshold method is compared to the proposed artificial neural network (ANN) approach for finding promoters based on SIDD profile data.Results: When compared to the SIDD threshold prediction method, artificial neural networks showed noticeable improvements for precision, recall, and F-score over a range of values. The maximal F-score for the ANN classifier was 62.3 and 56.8 for the threshold-based classifier.Conclusions: Artificial neural networks were used to predict promoters based on SIDD profile data. Results using this technique were an improvement over the previous SIDD threshold approach. Over a wide range of precision-recall values, artificial neural networks were more capable of identifying distinctive characteristics of promoter regions than threshold based methods. © 2010 Newsome et al; licensee BioMed Central Ltd.

Wang L.,Mississippi Valley State University
International Journal of Healthcare Technology and Management | Year: 2010

Radio Frequency Identification (RFID) can improve services and management in medical and healthcare systems. It helps monitor patients, link patients with key drugs and personnel, and track medical devices and potentially hazardous materials in hospitals. In telemedicine, RFID integrated with sensors can monitor blood products' temperature, send patients' physiological status, and identify patients' locations in case of emergency. Based on the EPCglobal Network, RFID can track all transactions from the beginning to the end in the pharmaceutical industry, which combats counterfeit products and protects product brands. Information security about RFID tags, challenges, and future work are also discussed. Copyright © 2010 Inderscience Enterprises Ltd.

Wang L.,Mississippi Valley State University
International Journal of Electrical and Computer Engineering | Year: 2014

The maximum read range of a Radio Frequency Identification (RFID) system depends on a number of factors. In this paper, the maximum read ranges of an RFID system with a handheld RFID reader and another RFID system with a fixed RFID reader were tested when a tag was attached to different materials. Distinguishing factors that influence the maximum read range is important. A design of experiments (DOE) method was used to understand and quantify the relative influence of three factors (the antenna number, the tagged material, and the RF interference) on the maximum read range of the RFID system with a fixed RFID reader. The influences of the three factors and their interaction effects were classified by an order of importance. The methods in this paper also apply to the study of other RFID systems and determining the relative influences of other selected factors or parameters as well as other materials. Copyright © 2014 Institute of Advanced Engineering and Science. All rights reserved.

He Q.,Mississippi Valley State University
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

Remote sensing is widely applied to provide information of areas with limited ground access with applications such as to assess the destruction from natural disasters and to plan relief and recovery operations. However, the data collection of aerial digital images is constrained by bad weather, atmospheric conditions, and unstable camera or camcorder. Therefore, how to recover the information from the low-quality remote sensing images and how to enhance the image quality becomes very important for many visual understanding tasks, such like feature detection, object segmentation, and object recognition. The quality of remote sensing imagery can be improved through meaningful combination of the employed images captured from different sensors or from different conditions through information fusion. Here we particularly address information fusion to remote sensing images under multi-resolution analysis in the employed image sequences. The image fusion is to recover complete information by integrating multiple images captured from the same scene. Through image fusion, a new image with high-resolution or more perceptive for human and machine is created from a time series of low-quality images based on image registration between different video frames. © 2010 Copyright SPIE - The International Society for Optical Engineering.

Wu X.P.,Mississippi Valley State University | Wang L.,Kennesaw State University
Nonlinear Analysis: Real World Applications | Year: 2010

In this paper, we study the following Kaldor-Kalecki model of business cycles describing the interaction of the gross product Y and the capital product K: {(frac(d Y (t), d t) = α [I (Y (t)) - β K (t) - γ Y (t)],; frac(d K (t), d t) = I (Y (t - τ)) - (β + q) K (t) .) Single and multi-parameter bifurcation analysis of the system is carried out to perform center manifold reduction. We show that this system can exhibit codimension-1 singularity (transcritical and pitchfork bifurcations) and codimenion-2 singularity (nontransversal and symmetric BT bifurcations) under certain conditions on the time delay τ and the nonlinearity of I (Y) by using the normal form method for DDEs due to Faria and Magalhães. In addition, we use the normal forms of the system to predict bifurcation diagrams such as pitchfork bifurcations, homoclinic bifurcations and double limit cycle bifurcations, which are confirmed by numerical simulations. © 2009 Elsevier Ltd. All rights reserved.

Wu X.P.,Mississippi Valley State University
Nonlinear Analysis: Real World Applications | Year: 2012

The zeroHopf singularity of a KaldorKalecki model of business cycle with delay in both the gross product and the capital stock is investigated. By computing the normal forms for the system, the bifurcation diagrams such as saddle-node, pitch-fork, and Hopf bifurcations are obtained. A major obstacle is to solve singular linear systems when the third order terms in the normal form are computed. Some examples are presented to confirm the theoretical results.

Agency: NSF | Branch: Continuing grant | Program: | Phase: HIST BLACK COLLEGES AND UNIV | Award Amount: 1.07M | Year: 2015

Implementation Projects provide support to Historically Black Colleges and Universities (HBCUs) to design, implement, study, and assess comprehensive institutional efforts to increase the number of students receiving undergraduate degrees in STEM and enhance the quality of their preparation by strengthening STEM education and research. The project at Mississippi Valley State University seeks to build on previous successful efforts to increase participation of African-American students in STEM disciplines. This project seeks to increase the number of undergraduate STEM majors being prepared to enter graduate school in a STEM field by focusing on mathematics preparation and to provide professional development to pre-service and in-service mathematics teachers. It is noteworthy that most students who enter the university come from secondary school systems where they have been taught mathematics by teachers who did not hold a mathematics or mathematics education degree.

The objectives of the project are to: increase the number of STEM majors going to graduate school; increase the mathematics content knowledge related to Common Core State Standards for Mississippi Delta area teachers using a collaborative team approach; and to prepare military veteran students to major in STEM disciplines. The project strategies supporting these objectives are evidence-based. They include a support structure for students, undergraduate student research, curriculum development, teachers clinics, and a veterans initiative. Seventy pre-service and in-service mathematics teachers are involved in professional development activities in the Teachers Teaching Teachers Clinics. The project is guided by an on-going evaluation, as well as internal and external advisory boards. This project is co-funded by the Robert Noyce Teacher Scholarship Program.

Agency: NSF | Branch: Standard Grant | Program: | Phase: S-STEM:SCHLR SCI TECH ENG&MATH | Award Amount: 604.45K | Year: 2013

The Odyssey III Scholarship Program is designed to strengthen the infrastructure of the computer science and mathematics programs at Mississippi Valley State University. Program activities are designed to capitalize on the academic gains made by computer science and mathematics majors during the last decade and to transform these gains into increased academic aspirations, particularly graduate school attendance. The program assists the University in creating an environment which equips and prepares students with skills that contribute to their success in graduate school and increases the pipeline of underrepresented minority students entering the workforce with graduate STEM degrees.

To achieve the program goal of providing stronger support for student aspirations to pursue graduate studies, program activities include a) active recruitment of students to participate in research internships; b) engagement in student development activities which facilitate graduate school admission such as GRE preparation and preparation of graduate school applications and statements of interest; c) early engagement in professional development activities such as freshman conference attendance, d) active engagement in conference research presentations by sophomores, juniors and seniors; and e) faculty-led initiatives that increase the awareness of graduate school requirements. The desired outcome of program activities is an increase in the pursuit and completion of graduate degrees by the programs primarily African American student population, who are underrepresented in STEM

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